Discover @WoShiDongZhiWu Open Source projects

dongzhiwu (@WoShiDongZhiWu)

WoShiDongZhiWu

Stars
122
Global Rank 179,891 (Top 7 %)
Followers 16
Following 9
Registered over 8 years ago
Most used languages

JavaScript
50.0 %

Python
37.5 %

Jupyter Notebook
12.5 %
Location 🇨🇳 China
Country Total Rank 21,906
Country Ranking

JavaScript
4,641

Jupyter Notebook
4,989

Python
6,830

deepLearning_UCAS2019

2019 UCAS, deep learning course projects, including handwritten number recognition, license plate number recognition, cat and dog classification, pedestrian detection, neural language model, neural network text summary, digital voice recognition, voice print recognition；2019年UCAS深度学习课程的课程项目，包括手写数字识别，车牌号码识别，猫狗分类，行人检测，神经语言模型，神经网络文本摘要，数字语音识别，声纹识别；

WebGL-cesium

cesium-双目立体-流水效果-道路监控-人群运动-500人群随机运动

WebGL_NavigationIndoor_3DGIS

基于蜂鸟云平台、webGL，实现三维室内寻径导航功能，但还需要进行坐标定位后，才能在实际中使用。场景是北京爱琴海商场

cesium_drawPolyine_on_terrain

在地形terrain上绘制polyline。基于cesium，对drawhelper.js进行扩展.Draw polyline on the terrain terrain. Based on cesium, extended drawhelper.js

webGL-learn

学习webgl编程指南，练习的一些demo

reinforcement-learning-algorithm

Reproduce the reinforcement learning algorithm；强化学习的算法复现

cs231n

深度学习基础-cs231n-KNN-softmax-SVM-two_layer_net-GAN-cifar猫狗分类

Jupyter Notebook

flask-learning-new-notes

学习python的flask web框架的笔记